文献类型：期刊文献

英文题名：Automatic Foreground Extraction Based on Difference of Gaussian

作者：Yuan, Yubo[1];Liu, Yun[1];Dai, Guanghui[1];Zhang, Jing[1,2];Chen, Zhihua[1]

机构：[1]E China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China;[2]Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Jiangsu, Peoples R China

年份：2014

外文期刊名：SCIENTIFIC WORLD JOURNAL

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000343481900001)】；

基金：This research has been supported by the National Natural Science Foundations of China (Grants 61370174,61001200), Open Project Program of the State Key Lab of CAD&CG (Grant no. A1213), Zhejiang University, and Natural Science Foundation of Shanghai Province of China (11ZR1409600).

语种：英文

摘要：A novel algorithm for automatic foreground extraction based on difference of Gaussian (DoG) is presented. In our algorithm, DoG is employed to find the candidate keypoints of an input image in different color layers. Then, a keypoints filter algorithm is proposed to get the keypoints by removing the pseudo-keypoints and rebuilding the important keypoints. Finally, Normalized cut (Ncut) is used to segment an image into several regions and locate the foreground with the number of keypoints in each region. Experiments on the given image data set demonstrate the effectiveness of our algorithm.